Katrina Ligett

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Indice H	29	25
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Aaron RothProfessor of Computer Science, University of PennsylvaniaEmail verificata su cis.upenn.edu
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoEmail verificata su ttic.edu
Zhiwei Steven WuCarnegie Mellon UniversityEmail verificata su andrew.cmu.edu
Yahav BechavodPostdoctoral Researcher, Department of Computer and Information Science, University of PennsylvaniaEmail verificata su upenn.edu
Rachel CummingsColumbia UniversityEmail verificata su columbia.edu
Frank McSherryMaterialize, Inc.Email verificata su materialize.io
Juba ZianiGeorgia Institute of Technology (ISyE)Email verificata su gatech.edu
Adam Tauman KalaiOpenAIEmail verificata su openai.com
Don PerovichThayer School of Engineering at Dartmouth CollegeEmail verificata su dartmouth.edu
Eyal Even-DarFinalEmail verificata su final.co.il
Kunal TalwarApple IncEmail verificata su apple.com
Siddharth BarmanDepartment of Computer Science and Automation, IIScEmail verificata su iisc.ac.in
Moritz HardtMax Planck Institute for Intelligent SystemsEmail verificata su is.mpg.de
Ori HeffetzCornell University, The Hebrew University of JerusalemEmail verificata su cornell.edu
Georgios PiliourasGoogle DeepMind, Singapore University of Technology and DesignEmail verificata su google.com
Bo WaggonerUniversity of Colorado, BoulderEmail verificata su colorado.edu
Yishay MansourTel Aviv UniversityEmail verificata su tauex.tau.ac.il
Seth NeelGoogleEmail verificata su google.com
Grant SchoenebeckUniversity of MichiganEmail verificata su umich.edu
Sham M KakadeHarvard UniversityEmail verificata su seas.harvard.edu

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Katrina Ligett

Hebrew University

Email verificata su mail.huji.ac.il


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
A learning theory approach to noninteractive database privacy A Blum, K Ligett, A Roth Journal of the ACM (JACM) 60 (2), 1-25, 2013	911	2013
A simple and practical algorithm for differentially private data release M Hardt, K Ligett, F McSherry NIPS'12: Proceedings of the 25th International Conference on Neural …, 2012	591	2012
Differentially private combinatorial optimization A Gupta, K Ligett, F McSherry, A Roth, K Talwar Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete …, 2010	302	2010
Aerial observations of the evolution of ice surface conditions during summer DK Perovich, WB Tucker III, KA Ligett Journal of Geophysical Research 107 (C10), 8048, 2002	253	2002
Penalizing unfairness in binary classification Y Bechavod, K Ligett arXiv preprint arXiv:1707.00044, 2018	225*	2018
Regret minimization and the price of total anarchy A Blum, MT Hajiaghayi, K Ligett, A Roth Proceedings of the fortieth annual ACM symposium on Theory of computing, 373-382, 2008	197	2008
Routing without regret: On convergence to Nash equilibria of regret-minimizing algorithms in routing games A Blum, E Even-Dar, K Ligett Theory of Computing 6 (1), 179-199, 2010	194*	2010
Playing games with approximation algorithms SM Kakade, AT Kalai, K Ligett Proceedings of the thirty-ninth annual ACM symposium on Theory of computing …, 2007	135	2007
Privacy and data-based research O Heffetz, K Ligett Journal of Economic Perspectives 28 (2), 75-98, 2014	123	2014
Accuracy first: Selecting a differential privacy level for accuracy-constrained ERM K Ligett, S Neel, A Roth, B Waggoner, S Wu Journal of Privacy and Confidentiality 9 (2), 2019	113	2019
Compressing rectilinear pictures and minimizing access control lists DA Applegate, G Calinescu, DS Johnson, H Karloff, K Ligett, J Wang SODA 7, 1066-1075, 2007	111	2007
Take it or leave it: Running a survey when privacy comes at a cost K Ligett, A Roth International workshop on internet and network economics, 378-391, 2012	110	2012
A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret. L Andrew, S Barman, K Ligett, M Lin, A Meyerson, A Roytman, A Wierman Conference on Learning Theory 30, 741-763, 2013	101	2013
Buying private data without verification A Ghosh, K Ligett, A Roth, G Schoenebeck Proceedings of the fifteenth ACM conference on Economics and computation …, 2014	89	2014
Differential privacy with compression S Zhou, K Ligett, L Wasserman 2009 IEEE International Symposium on Information Theory, 2718-2722, 2009	83	2009
Beyond the Nash Equilibrium Barrier. RD Kleinberg, K Ligett, G Piliouras, É Tardos ICS 20, 125-140, 2011	82	2011
Truthful Linear Regression R Cummings, S Ioannidis, K Ligett Conference on Learning Theory 40, 2015	80	2015
Gaming helps! learning from strategic interactions in natural dynamics Y Bechavod, K Ligett, S Wu, J Ziani International Conference on Artificial Intelligence and Statistics, 1234-1242, 2021	75*	2021
Adaptive learning with robust generalization guarantees R Cummings, K Ligett, K Nissim, A Roth, ZS Wu Conference on Learning Theory, 772-814, 2016	69	2016
Equal opportunity in online classification with partial feedback Y Bechavod, K Ligett, A Roth, B Waggoner, ZS Wu Neural and Information Processing Systems (NeurIPS) 32, 2019	67	2019

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